{"id":"W1124561823","doi":"","title":"甘蔗斑茅的杂交利用及其杂种后代鉴定系列研究（二）：甘蔗斑茅远缘真实杂种的分子鉴定","year":2004,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003290514,0.0007874296,0.0006235291,0.001991496,0.001858198,0.005444013,0.000736431,0.001154014,0.01194566],"category_scores_gemma":[0.00377884,0.0006594618,0.0008085843,0.002154297,0.00286773,0.005292837,0.000875983,0.001610618,0.004419725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003130903,"about_ca_system_score_gemma":0.004075815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005731717,"about_ca_topic_score_gemma":0.0044473,"domain_scores_codex":[0.9970888,0.0006100062,0.0002638425,0.0008539941,0.0009040663,0.0002792657],"domain_scores_gemma":[0.9977334,0.000802486,0.0002464214,0.000153799,0.0009094957,0.0001543187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001174964,0.0003268777,0.05884917,0.002757708,0.0003644247,0.001324278,0.01553512,0.01459514,0.1692642,0.1923276,0.01683045,0.5266501],"study_design_scores_gemma":[0.000219213,0.0005502462,0.07341787,0.0008249157,0.0006977272,0.002019011,0.02428571,0.0275022,0.2890297,0.1785523,0.4023153,0.0005858096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3317888,0.007343119,0.271444,0.004866845,0.000857149,0.0008553675,0.003962674,0.001981447,0.3769006],"genre_scores_gemma":[0.8132496,0.002466244,0.116785,0.00083124,0.0001823755,0.0005040893,0.001787126,0.0003919051,0.06380254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01194566,"threshold_uncertainty_score":0.03996223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006791137007792666,"score_gpt":0.2399252778197593,"score_spread":0.2331341408119667,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}